{"id":"W2463179629","doi":"10.1007/978-3-319-30927-9_18","title":"Enhancement of GSM Stream Cipher Security Using Variable Taps Mechanism and Nonlinear Combination Functions on Linear Feedback Shift Registers","year":2016,"lang":"en","type":"book-chapter","venue":"Smart innovation, systems and technologies","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Stream cipher; Stream cipher attack; Computer science; Correlation attack; GSM; Cipher; Shift register; Brute-force attack; Encryption; Affine cipher; Wireless; Embedded system; Computer hardware; Computer network; Chip; CBC-MAC; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011014,0.0005116097,0.0002778595,0.0003258705,0.0001870784,0.0004313156,0.000317668,0.0003149675,0.003495386],"category_scores_gemma":[0.0002183128,0.0001523153,0.0004137671,0.0002978667,0.0002994048,0.0008589808,0.0003893354,0.0005431256,0.0009350285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000235808,"about_ca_system_score_gemma":0.0002172134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000115538,"about_ca_topic_score_gemma":0.0001685431,"domain_scores_codex":[0.9999018,0.00002227264,0.00000520642,0.0000154218,0.00003812873,0.00001711508],"domain_scores_gemma":[0.9999336,0.000020983,0.000007059548,0.00001625443,0.0000189782,0.000003177676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006063787,0.0000872459,0.0006186098,0.0004500975,0.00006725452,0.0004521238,0.0001823595,0.01717936,0.5528747,0.1493021,0.003831696,0.2743482],"study_design_scores_gemma":[0.0001032274,0.0009509929,0.001686727,0.0001343064,0.0002244112,0.00269792,0.00007039728,0.2804643,0.5984612,0.05222728,0.06289814,0.00008107269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2067896,0.004403454,0.697073,0.0005663183,0.0004392915,0.0001958496,0.0001496844,0.001944716,0.0884381],"genre_scores_gemma":[0.879113,0.002268417,0.08855513,0.0001278389,0.0001671187,0.00005256155,0.0001325136,0.0001368321,0.02944651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003495386,"threshold_uncertainty_score":0.01169324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02223892483837167,"score_gpt":0.2286040486982364,"score_spread":0.2063651238598647,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}